Learn R Programming

⚠️There's a newer version (3.3.1) of this package.Take me there.

rbacon (version 2.4.2)

Age-Depth Modelling using Bayesian Statistics

Description

An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) .

Copy Link

Version

Install

install.packages('rbacon')

Monthly Downloads

1,361

Version

2.4.2

License

GPL (>= 2)

Maintainer

Maarten Blaauw

Last Published

April 21st, 2020

Functions in rbacon (2.4.2)

Calculate modelled 210Pb

Remove files made to produce the current core's age-depth model.

accrate.age.ghost

Plot a core's accumulation rates against calendar time.

Calculate age distributions of depths.

Obtain estimated accumulation rates for any age of a core.

Test to identify poorly mixed MCMC runs.

Output all ages for a single depth.

Obtain estimated accumulation rates as for any depth of a core.

Calculate pMC values from C14 ages

Event probabilities against calendar age

Plot an age-depth model

Translate clam .csv files to Bacon .csv files.

accrate.depth.ghost

Plot modelled accumulation rates against the depths of a core.

copyCalibrationCurve

Copy a calibration curve.

draw.pbmodelled

Plot the 210Pb data

Plot flux rates for proxies.

calib.plumbacon.plot

Translate Bacon .csv files to clam .csv files.

Main age-depth modelling function

Remove the first n iterations.

Extract one age-model iteration

Calculate C14 ages from pMC values.

Build a custom-made, mixed calibration curve.

Add dates to age-depth plots

Proxies analysed along the depths of a core can be plotted as 'proxy-ghost' graphs against calendar time while taking into account chronological uncertainties. Here darker grey indicates more likely calendar ages for specific proxy values.

Thin iterations.